Ashley Tsang's Homepage

About Me

I am a third-year Bioinformatics PhD candidate at the University of Michigan, advised by Prof. Arvind Rao. Previously, I obtained my Bachelor's degree in BME & CS and Master's degree in BME from Johns Hopkins University. While there, I was fortunate to work with Prof. Elana Fertig and Prof. Denis Wirtz.

My research interest lies at the intersection of AI and biology. I am excited about developing computational methods to study the spatial organization of cancer, particularly leveraging spatial multi-omics to characterize the tumor microenvironment.

Publications

(show selected · show all)

(*) indicates joint first authors

	Encoding functional edges in graphs to model spatially varying relationships in the tumor microenvironment *Ashley P Tsang()*, Santhoshi Krishnan(), ..., Arvind Rao npj Artificial Intelligence · 2026 We introduce a flexible graph-based framework for modeling spatial relationships in the tumor microenvironment.
	Assessing the tumor immune landscape across multiple spatial scales to differentiate immunotherapy response in metastatic non-small cell lung cancer *Ashley P Tsang()*, Santhoshi Krishnan(), Joel Eliason(*), ..., Arvind Rao Laboratory Investigation · 2024 We quantify cell-cell interactions within multiple levels of spatial contexts in multiplexed immunofluorescence data.
	Inferring cellular and molecular processes in single-cell data with non-negative matrix factorization using Python, R, and GenePattern Notebook implementations of CoGAPS Jeanette Johnson(), Ashley P Tsang()**, ..., Elana Fertig, Genevieve Stein-O'Brien Nature Protocols · 2023 We developed a user-friendly package for unsupervised pattern discovery in single cell data.
	Deep Learning Model for Static Ocular Torsion Detection Using Synthetically Generated Fundus Images Chen Wang, Yunong Bai, Ashley P Tsang, ..., Kemar Green Translational Vision Science and Technology · 2023 We developed a predictive model for detecting ocular torsion from images.
	Biopsy Needle Accessory Robert Liddell, Deborah Weidman, Ashley P Tsang, et al. Patent Pending · 2022 We ideated a novel biopsy needle attachment that improves needle steerability and reduces air leakage.
	Adequacy of samples obtained via percutaneous core-needle rebiopsy for EGFR T790M molecular analysis in patients with non-small cell lung cancer following acquired resistance to first-line therapy: A systematic review and meta-analysis Bibhav Poudel, Jacob Desman, Gohta Aihara, Deborah Weidman, Ashley P Tsang, ..., Robert Liddell Cancer Treatment and Research Communications · 2021 We performed a comprehensive review of biopsy sample adequacy for molecular characterization in non-small cell lung cancer.

Experience

Research Intern

Incoming Summer 2026

- Biology Research | AI Development (BRAID) division

Co-Founder

2019 - 2024

Co-founder and lead of PneuTech. We developed a novel biopsy needle attachment device (patent pending) enabling clinicians to safely sample adequate tissue for cancer diagnosis, research, and personalized treatment.

▸ show more

Teaching

Undergraduate Teaching Assistant

Department of Applied Mathematics and Statistics

- Discrete Mathematics (Fall 2020)

Ashley P. Tsang

About Me

Publications

Experience

Teaching